R&D: Distributed Business-Aware Storage Execution Environment Towards Large-Scale Applications

Lecture Notes in Computer Science book series has published , in ICA3PP 2020: Algorithms and Architectures for Parallel Processing proceedings, an article written by Feng Jiang, Yongyang Cheng, Changkun Dong, Zhao Hui, China Telecom Cloud Computing Corporation, Beijing, China, and Ruibo Yan, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.

Abstract: “The rapid development of distributed storage technology has attracted growing attention from both industry and academia. Although distributed system has been studied for many years, however, it is widely applied to engineering practice since the rise of cloud computing recently. Cloud storage constructs a storage resource pool with massive common storage devices through networks, which could be allocated to authorized users on demand. In this paper, we present a distributed business-aware storage execution environment towards large-scale applications. Initially, we present the overall of our proposed storage execution environment and different data delivery models according to corresponding business needs. Furthermore, we design a globally shared and cross-regional deployed metadata service to minimize the access delay of metadata. Finally, the approach presented in this paper has been validated to be effective through a series of evaluation experiments and actual use cases.“